Co-op Engineer - openJiuwen AI Agent Platform

Huawei Canada

Markham

On-site

CAD 58,000 - 104,000

Full time

14 days+
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Benefits offered by this job

Accommodation available
No AI screening of candidates

Job summary

Huawei Canada has a co-op opening for an Engineer to design and develop core capabilities of the openJiuwen AI Agent Platform, including Agent Frameworks, Workflows, Tool Calling, MCP, and Multi-Agent collaboration.

The ideal candidate is pursuing a CS degree and is proficient in Python, Java, C++, or Go, with familiarity in Git workflows and open source, plus exposure to AI Agent, LLM, RAG, MCP, or Workflow projects.

Qualifications

  • Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science or a related field.
  • Proficient in Python, Java, C++, Go.
  • Familiar with Git, GitHub, or GitCode workflows and passionate about open source.
  • Experience with AI Agent, LLM, RAG, MCP, or Workflow projects is an asset.
  • Familiarity with LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI is an asset.
  • Interest in developer communities and technical sharing is an asset.

Responsibilities

  • Design and develop core capabilities of the openJiuwen AI Agent Platform, including Agent Frameworks, Workflows, Tool Calling, MCP, and Multi-Agent collaboration.
  • Build real-world AI Agents such as Coding Agents, Research Agents, Data Agents, and Software Engineering Agents.
  • Contribute to JiuwenSwarm and other flagship open source projects through feature development, issue fixing, documentation, examples, and community collaboration.
  • Explore cutting-edge technologies including LLMs, Agentic Workflows, Memory, Planning, Evaluation, and Multi-Agent systems.

Skills

Python
Java
C++
Go
Git/GitHub workflows
Open source passion
AI Agent / LLM basics

Education

Bachelor's/Master's/PhD in CS or related field

Tools

LangGraph
LangChain
LlamaIndex
AutoGen
CrewAI

Job description

Huawei Canada has an immediate co-op opening for an Engineer.

About the team:

openJiuwen is an international open source AI Agent community building infrastructure for the AI Agent era.

Our ecosystem includes JiuwenSwarm—our flagship multi-agent framework—along with Agent Framework, Agent Runtime, Agent Studio, MCP, Tool Calling, Workflow, Memory, RAG and Evaluation.

Official Website: https://www.openjiuwen.com/en/

Github Code: https://github.com/openJiuwen-ai

About the job:
  • Design and develop core capabilities of the openJiuwen AI Agent Platform, including Agent Frameworks, Workflows, Tool Calling, MCP, and Multi-Agent collaboration.
  • Build real-world AI Agents such as Coding Agents, Research Agents, Data Agents, and Software Engineering Agents.
  • Contribute to JiuwenSwarm and other flagship open source projects through feature development, issue fixing, documentation, examples, and community collaboration.
  • Explore cutting-edge technologies including LLMs, Agentic Workflows, Memory, Planning, Evaluation, and Multi-Agent systems.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

Job requirements
About the ideal candidate:
  • Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science or a related field.
  • Proficient in Python, Java, C++, Go, or another programming language.
  • Familiar with Git, GitHub, or GitCode workflows and passionate about open source.
  • Experience with AI Agent, LLM, RAG, MCP, or Workflow projects is an asset.
  • Familiarity with LangGraph, LangChain, LlamaIndex, AutoGen, or CrewAI is an asset.
  • Interest in developer communities and technical sharing is an asset.
Additional Information:

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.

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